Electric Vehicle Population Data - Exploratory Analysis

Dataset statistics

Number of variables	18
Number of observations	186476
Missing cells	15
Missing cells (%)	< 0.1%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	39.8 MiB
Average record size in memory	224.0 B

Variable types

Text	2
Categorical	10
Numeric	6

Alerts

`State` has constant value "WA"	Constant
`City` has a high cardinality: 473 distinct values	High cardinality
`Model` has a high cardinality: 143 distinct values	High cardinality
`Electric Utility` has a high cardinality: 75 distinct values	High cardinality
`2020 Census Tract` has a high cardinality: 1768 distinct values	High cardinality
`Electric Utility` is highly imbalanced (51.8%)	Imbalance
`DOL Vehicle ID` has unique values	Unique
`Electric Range` has 98599 (52.9%) zeros	Zeros

Reproduction

Analysis started	2024-06-05 22:02:51.139244
Analysis finished	2024-06-05 22:03:01.062892
Duration	9.92 seconds
Software version	ydata-profiling v4.8.3
Download configuration	config.json

VIN (1-10)
Text

Distinct	11237
Distinct (%)	6.0%
Missing	0
Missing (%)	0.0%
Memory size	13.3 MiB

Length

Max length	10
Median length	10
Mean length	10
Min length	10

Characters and Unicode

Total characters	1864760
Distinct characters	34
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2077 ?
Unique (%)	1.1%

Sample

1st row	WBY8P6C58K
2nd row	5YJSA1DN4D
3rd row	5YJSA1E26J
4th row	WBY2Z2C54E
5th row	5YJXCDE23J

Value	Count	Frequency (%)
7saygdee6p	1236	0.7%
7saygdee7p	1227	0.7%
7saygdee5p	1192	0.6%
7saygdee8p	1190	0.6%
7saygdeexp	1189	0.6%
7saygdee0p	1168	0.6%
7saygdee9p	1161	0.6%
7saygdee2p	1157	0.6%
7saygdee3p	1148	0.6%
7saygdee4p	1128	0.6%
Other values (11227)	174680	93.7%

Most occurring characters

Value	Count	Frequency (%)
E	168216	9.0%
1	131918	7.1%
A	118815	6.4%
Y	104715	5.6%
P	92679	5.0%
J	90577	4.9%
5	85545	4.6%
3	75741	4.1%
D	74092	4.0%
G	72671	3.9%
Other values (24)	849791	45.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1864760	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
E	168216	9.0%
1	131918	7.1%
A	118815	6.4%
Y	104715	5.6%
P	92679	5.0%
J	90577	4.9%
5	85545	4.6%
3	75741	4.1%
D	74092	4.0%
G	72671	3.9%
Other values (24)	849791	45.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1864760	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
E	168216	9.0%
1	131918	7.1%
A	118815	6.4%
Y	104715	5.6%
P	92679	5.0%
J	90577	4.9%
5	85545	4.6%
3	75741	4.1%
D	74092	4.0%
G	72671	3.9%
Other values (24)	849791	45.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1864760	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
E	168216	9.0%
1	131918	7.1%
A	118815	6.4%
Y	104715	5.6%
P	92679	5.0%
J	90577	4.9%
5	85545	4.6%
3	75741	4.1%
D	74092	4.0%
G	72671	3.9%
Other values (24)	849791	45.6%

County
Categorical

Distinct	39
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.6 MiB

King	97012
Snohomish	22086
Pierce	14542
Clark	11005
Thurston	6779
Other values (34)	35052

Length

Max length	12
Median length	4
Mean length	5.4712456
Min length	4

Characters and Unicode

Total characters	1020256
Distinct characters	42
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	King
2nd row	Kitsap
3rd row	King
4th row	King
5th row	King

Common Values

Value	Count	Frequency (%)
King	97012	52.0%
Snohomish	22086	11.8%
Pierce	14542	7.8%
Clark	11005	5.9%
Thurston	6779	3.6%
Kitsap	6145	3.3%
Spokane	4856	2.6%
Whatcom	4455	2.4%
Benton	2282	1.2%
Skagit	2028	1.1%
Other values (29)	15286	8.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
king	97012	51.4%
snohomish	22086	11.7%
pierce	14542	7.7%
clark	11005	5.8%
thurston	6779	3.6%
kitsap	6145	3.3%
spokane	4856	2.6%
whatcom	4455	2.4%
benton	2282	1.2%
skagit	2028	1.1%
Other values (32)	17439	9.2%

Most occurring characters

Value	Count	Frequency (%)
i	148482	14.6%
n	145665	14.3%
K	104132	10.2%
g	99697	9.8%
o	66880	6.6%
h	56946	5.6%
a	46429	4.6%
s	41798	4.1%
e	40906	4.0%
r	36743	3.6%
Other values (32)	232578	22.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1020256	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
i	148482	14.6%
n	145665	14.3%
K	104132	10.2%
g	99697	9.8%
o	66880	6.6%
h	56946	5.6%
a	46429	4.6%
s	41798	4.1%
e	40906	4.0%
r	36743	3.6%
Other values (32)	232578	22.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1020256	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
i	148482	14.6%
n	145665	14.3%
K	104132	10.2%
g	99697	9.8%
o	66880	6.6%
h	56946	5.6%
a	46429	4.6%
s	41798	4.1%
e	40906	4.0%
r	36743	3.6%
Other values (32)	232578	22.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1020256	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
i	148482	14.6%
n	145665	14.3%
K	104132	10.2%
g	99697	9.8%
o	66880	6.6%
h	56946	5.6%
a	46429	4.6%
s	41798	4.1%
e	40906	4.0%
r	36743	3.6%
Other values (32)	232578	22.8%

City
Categorical

HIGH CARDINALITY

Distinct	473
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	1.8 MiB

Seattle	30873
Bellevue	9370
Redmond	6747
Vancouver	6531
Bothell	6151
Other values (468)	126804

Length

Max length	24
Median length	17
Mean length	8.2062839
Min length	3

Characters and Unicode

Total characters	1530275
Distinct characters	52
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	52 ?
Unique (%)	< 0.1%

Sample

1st row	Seattle
2nd row	Bremerton
3rd row	Kent
4th row	Bellevue
5th row	Bellevue

Common Values

Value	Count	Frequency (%)
Seattle	30873	16.6%
Bellevue	9370	5.0%
Redmond	6747	3.6%
Vancouver	6531	3.5%
Bothell	6151	3.3%
Kirkland	5608	3.0%
Sammamish	5494	2.9%
Renton	5399	2.9%
Olympia	4501	2.4%
Tacoma	3891	2.1%
Other values (463)	101911	54.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
seattle	30873	14.3%
bellevue	9370	4.3%
redmond	6747	3.1%
vancouver	6531	3.0%
bothell	6151	2.8%
kirkland	5608	2.6%
sammamish	5494	2.5%
renton	5399	2.5%
island	5191	2.4%
olympia	4501	2.1%
Other values (493)	130331	60.3%

Most occurring characters

Value	Count	Frequency (%)
e	208868	13.6%
a	148439	9.7%
l	135925	8.9%
t	106375	7.0%
n	101541	6.6%
o	90253	5.9%
r	63336	4.1%
i	60727	4.0%
S	52499	3.4%
d	50920	3.3%
Other values (42)	511392	33.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1530275	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	208868	13.6%
a	148439	9.7%
l	135925	8.9%
t	106375	7.0%
n	101541	6.6%
o	90253	5.9%
r	63336	4.1%
i	60727	4.0%
S	52499	3.4%
d	50920	3.3%
Other values (42)	511392	33.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1530275	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	208868	13.6%
a	148439	9.7%
l	135925	8.9%
t	106375	7.0%
n	101541	6.6%
o	90253	5.9%
r	63336	4.1%
i	60727	4.0%
S	52499	3.4%
d	50920	3.3%
Other values (42)	511392	33.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1530275	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	208868	13.6%
a	148439	9.7%
l	135925	8.9%
t	106375	7.0%
n	101541	6.6%
o	90253	5.9%
r	63336	4.1%
i	60727	4.0%
S	52499	3.4%
d	50920	3.3%
Other values (42)	511392	33.4%

State
Categorical

CONSTANT

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.6 MiB

WA	186476

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	372952
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	WA
2nd row	WA
3rd row	WA
4th row	WA
5th row	WA

Common Values

Value	Count	Frequency (%)
WA	186476	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
wa	186476	100.0%

Most occurring characters

Value	Count	Frequency (%)
W	186476	50.0%
A	186476	50.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	372952	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
W	186476	50.0%
A	186476	50.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	372952	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
W	186476	50.0%
A	186476	50.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	372952	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
W	186476	50.0%
A	186476	50.0%

Postal Code
Real number (ℝ)

Distinct	548
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	98261.658

Minimum	98001
Maximum	99403
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	2.8 MiB

Quantile statistics

Minimum	98001
5-th percentile	98007
Q1	98052
median	98122
Q3	98371
95-th percentile	98944
Maximum	99403
Range	1402
Interquartile range (IQR)	319

Descriptive statistics

Standard deviation	304.62624
Coefficient of variation (CV)	0.0031001537
Kurtosis	3.0048493
Mean	98261.658
Median Absolute Deviation (MAD)	100
Skewness	1.8046731
Sum	1.8323441 × 10¹⁰
Variance	92797.148
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
98052	4753	2.5%
98012	3507	1.9%
98033	3197	1.7%
98188	3063	1.6%
98006	3004	1.6%
98004	2937	1.6%
98115	2833	1.5%
98074	2633	1.4%
98072	2545	1.4%
98034	2468	1.3%
Other values (538)	155536	83.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
98001	786	0.4%
98002	284	0.2%
98003	569	0.3%
98004	2937	1.6%
98005	1368	0.7%
98006	3004	1.6%
98007	996	0.5%
98008	1550	0.8%
98010	390	0.2%
98011	1209	0.6%

Value	Count	Frequency (%)
99403	63	< 0.1%
99402	12	< 0.1%
99371	1	< 0.1%
99362	361	0.2%
99361	10	< 0.1%
99360	8	< 0.1%
99357	22	< 0.1%
99356	1	< 0.1%
99354	301	0.2%
99353	237	0.1%

Model Year
Real number (ℝ)

Distinct	22
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2020.6611

Minimum	1997
Maximum	2024
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	2.8 MiB

Quantile statistics

Minimum	1997
5-th percentile	2014
Q1	2019
median	2022
Q3	2023
95-th percentile	2024
Maximum	2024
Range	27
Interquartile range (IQR)	4

Descriptive statistics

Standard deviation	2.9913893
Coefficient of variation (CV)	0.0014804013
Kurtosis	0.68764134
Mean	2020.6611
Median Absolute Deviation (MAD)	1
Skewness	-1.1612314
Sum	3.768048 × 10⁸
Variance	8.9484102
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=22)

Value	Count	Frequency (%)
2023	59230	31.8%
2022	28067	15.1%
2021	19254	10.3%
2018	14344	7.7%
2024	13451	7.2%
2020	11990	6.4%
2019	10904	5.8%
2017	8605	4.6%
2016	5521	3.0%
2015	4830	2.6%
Other values (12)	10280	5.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1997	1	< 0.1%
1998	1	< 0.1%
1999	5	< 0.1%
2000	7	< 0.1%
2002	2	< 0.1%
2003	1	< 0.1%
2008	20	< 0.1%
2010	24	< 0.1%
2011	757	0.4%
2012	1589	0.9%

Value	Count	Frequency (%)
2024	13451	7.2%
2023	59230	31.8%
2022	28067	15.1%
2021	19254	10.3%
2020	11990	6.4%
2019	10904	5.8%
2018	14344	7.7%
2017	8605	4.6%
2016	5521	3.0%
2015	4830	2.6%

Make
Categorical

Distinct	40
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.6 MiB

TESLA	83149
NISSAN	14168
CHEVROLET	14046
FORD	9812
KIA	7875
Other values (35)	57426

Length

Max length	20
Median length	14
Mean length	5.5569832
Min length	3

Characters and Unicode

Total characters	1036244
Distinct characters	28
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	BMW
2nd row	TESLA
3rd row	TESLA
4th row	BMW
5th row	TESLA

Common Values

Value	Count	Frequency (%)
TESLA	83149	44.6%
NISSAN	14168	7.6%
CHEVROLET	14046	7.5%
FORD	9812	5.3%
KIA	7875	4.2%
BMW	7843	4.2%
TOYOTA	6735	3.6%
VOLKSWAGEN	5286	2.8%
JEEP	4915	2.6%
HYUNDAI	4776	2.6%
Other values (30)	27871	14.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
tesla	83149	44.6%
nissan	14168	7.6%
chevrolet	14046	7.5%
ford	9812	5.3%
kia	7875	4.2%
bmw	7843	4.2%
toyota	6735	3.6%
volkswagen	5286	2.8%
jeep	4915	2.6%
hyundai	4776	2.6%
Other values (36)	27990	15.0%

Most occurring characters

Value	Count	Frequency (%)
E	140442	13.6%
A	136672	13.2%
S	128015	12.4%
T	113607	11.0%
L	113428	10.9%
O	55352	5.3%
N	47275	4.6%
I	46717	4.5%
R	40401	3.9%
V	32716	3.2%
Other values (18)	181619	17.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1036244	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
E	140442	13.6%
A	136672	13.2%
S	128015	12.4%
T	113607	11.0%
L	113428	10.9%
O	55352	5.3%
N	47275	4.6%
I	46717	4.5%
R	40401	3.9%
V	32716	3.2%
Other values (18)	181619	17.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1036244	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
E	140442	13.6%
A	136672	13.2%
S	128015	12.4%
T	113607	11.0%
L	113428	10.9%
O	55352	5.3%
N	47275	4.6%
I	46717	4.5%
R	40401	3.9%
V	32716	3.2%
Other values (18)	181619	17.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1036244	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
E	140442	13.6%
A	136672	13.2%
S	128015	12.4%
T	113607	11.0%
L	113428	10.9%
O	55352	5.3%
N	47275	4.6%
I	46717	4.5%
R	40401	3.9%
V	32716	3.2%
Other values (18)	181619	17.5%

Model
Categorical

HIGH CARDINALITY

Distinct	143
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.8 MiB

MODEL Y	38577
MODEL 3	30619
LEAF	13422
MODEL S	7809
BOLT EV	7045
Other values (138)	89004

Length

Max length	24
Median length	7
Mean length	6.4071516
Min length	2

Characters and Unicode

Total characters	1194780
Distinct characters	38
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	4 ?
Unique (%)	< 0.1%

Sample

1st row	I3
2nd row	MODEL S
3rd row	MODEL S
4th row	I8
5th row	MODEL X

Common Values

Value	Count	Frequency (%)
MODEL Y	38577	20.7%
MODEL 3	30619	16.4%
LEAF	13422	7.2%
MODEL S	7809	4.2%
BOLT EV	7045	3.8%
MODEL X	6031	3.2%
VOLT	4795	2.6%
ID.4	4211	2.3%
WRANGLER	3691	2.0%
MUSTANG MACH-E	3630	1.9%
Other values (133)	66646	35.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
model	83036	28.0%
y	38577	13.0%
3	30619	10.3%
leaf	13422	4.5%
bolt	8916	3.0%
s	7809	2.6%
ev	7350	2.5%
x	6031	2.0%
prime	5357	1.8%
volt	4795	1.6%
Other values (140)	90473	30.5%

Most occurring characters

Value	Count	Frequency (%)
E	140078	11.7%
L	122659	10.3%
O	117680	9.8%
	109909	9.2%
M	97701	8.2%
D	91230	7.6%
A	50742	4.2%
Y	41873	3.5%
R	41549	3.5%
I	41078	3.4%
Other values (28)	340281	28.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1194780	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
E	140078	11.7%
L	122659	10.3%
O	117680	9.8%
	109909	9.2%
M	97701	8.2%
D	91230	7.6%
A	50742	4.2%
Y	41873	3.5%
R	41549	3.5%
I	41078	3.4%
Other values (28)	340281	28.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1194780	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
E	140078	11.7%
L	122659	10.3%
O	117680	9.8%
	109909	9.2%
M	97701	8.2%
D	91230	7.6%
A	50742	4.2%
Y	41873	3.5%
R	41549	3.5%
I	41078	3.4%
Other values (28)	340281	28.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1194780	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
E	140078	11.7%
L	122659	10.3%
O	117680	9.8%
	109909	9.2%
M	97701	8.2%
D	91230	7.6%
A	50742	4.2%
Y	41873	3.5%
R	41549	3.5%
I	41078	3.4%
Other values (28)	340281	28.5%

Electric Vehicle Type
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.6 MiB

Battery Electric Vehicle (BEV)	146023
Plug-in Hybrid Electric Vehicle (PHEV)	40453

Length

Max length	38
Median length	30
Mean length	31.735473
Min length	30

Characters and Unicode

Total characters	5917904
Distinct characters	23
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Battery Electric Vehicle (BEV)
2nd row	Battery Electric Vehicle (BEV)
3rd row	Battery Electric Vehicle (BEV)
4th row	Plug-in Hybrid Electric Vehicle (PHEV)
5th row	Battery Electric Vehicle (BEV)

Common Values

Value	Count	Frequency (%)
Battery Electric Vehicle (BEV)	146023	78.3%
Plug-in Hybrid Electric Vehicle (PHEV)	40453	21.7%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
electric	186476	23.7%
vehicle	186476	23.7%
battery	146023	18.6%
bev	146023	18.6%
plug-in	40453	5.1%
hybrid	40453	5.1%
phev	40453	5.1%

Most occurring characters

Value	Count	Frequency (%)
e	705451	11.9%
	599881	10.1%
c	559428	9.5%
t	478522	8.1%
i	453858	7.7%
l	413405	7.0%
V	372952	6.3%
r	372952	6.3%
E	372952	6.3%
B	292046	4.9%
Other values (13)	1296457	21.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	5917904	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	705451	11.9%
	599881	10.1%
c	559428	9.5%
t	478522	8.1%
i	453858	7.7%
l	413405	7.0%
V	372952	6.3%
r	372952	6.3%
E	372952	6.3%
B	292046	4.9%
Other values (13)	1296457	21.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	5917904	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	705451	11.9%
	599881	10.1%
c	559428	9.5%
t	478522	8.1%
i	453858	7.7%
l	413405	7.0%
V	372952	6.3%
r	372952	6.3%
E	372952	6.3%
B	292046	4.9%
Other values (13)	1296457	21.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	5917904	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	705451	11.9%
	599881	10.1%
c	559428	9.5%
t	478522	8.1%
i	453858	7.7%
l	413405	7.0%
V	372952	6.3%
r	372952	6.3%
E	372952	6.3%
B	292046	4.9%
Other values (13)	1296457	21.9%

Clean Alternative Fuel Vehicle (CAFV) Eligibility
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.6 MiB

Eligibility unknown as battery range has not been researched	98599
Clean Alternative Fuel Vehicle Eligible	67637
Not eligible due to low battery range	20240

Length

Max length	60
Median length	60
Mean length	49.88665
Min length	37

Characters and Unicode

Total characters	9302663
Distinct characters	26
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Clean Alternative Fuel Vehicle Eligible
2nd row	Clean Alternative Fuel Vehicle Eligible
3rd row	Clean Alternative Fuel Vehicle Eligible
4th row	Not eligible due to low battery range
5th row	Clean Alternative Fuel Vehicle Eligible

Common Values

Value	Count	Frequency (%)
Eligibility unknown as battery range has not been researched	98599	52.9%
Clean Alternative Fuel Vehicle Eligible	67637	36.3%
Not eligible due to low battery range	20240	10.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
not	118839	8.7%
battery	118839	8.7%
range	118839	8.7%
eligibility	98599	7.2%
unknown	98599	7.2%
been	98599	7.2%
researched	98599	7.2%
has	98599	7.2%
as	98599	7.2%
eligible	87877	6.4%
Other values (7)	331268	24.2%

Most occurring characters

Value	Count	Frequency (%)
e	1264852	13.6%
	1180780	12.7%
n	747108	8.0%
i	705424	7.6%
a	668749	7.2%
l	663740	7.1%
t	610630	6.6%
r	502513	5.4%
b	403914	4.3%
g	305315	3.3%
Other values (16)	2249638	24.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	9302663	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	1264852	13.6%
	1180780	12.7%
n	747108	8.0%
i	705424	7.6%
a	668749	7.2%
l	663740	7.1%
t	610630	6.6%
r	502513	5.4%
b	403914	4.3%
g	305315	3.3%
Other values (16)	2249638	24.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	9302663	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	1264852	13.6%
	1180780	12.7%
n	747108	8.0%
i	705424	7.6%
a	668749	7.2%
l	663740	7.1%
t	610630	6.6%
r	502513	5.4%
b	403914	4.3%
g	305315	3.3%
Other values (16)	2249638	24.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	9302663	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	1264852	13.6%
	1180780	12.7%
n	747108	8.0%
i	705424	7.6%
a	668749	7.2%
l	663740	7.1%
t	610630	6.6%
r	502513	5.4%
b	403914	4.3%
g	305315	3.3%
Other values (16)	2249638	24.2%

Electric Range
Real number (ℝ)

ZEROS

Distinct	103
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	56.683101

Minimum	0
Maximum	337
Zeros	98599
Zeros (%)	52.9%
Negative	0
Negative (%)	0.0%
Memory size	2.8 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	73
95-th percentile	259
Maximum	337
Range	337
Interquartile range (IQR)	73

Descriptive statistics

Standard deviation	90.770218
Coefficient of variation (CV)	1.6013629
Kurtosis	0.79635721
Mean	56.683101
Median Absolute Deviation (MAD)	0
Skewness	1.5095775
Sum	10570038
Variance	8239.2324
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	98599	52.9%
215	6420	3.4%
32	4321	2.3%
25	4253	2.3%
220	4043	2.2%
238	3941	2.1%
84	3893	2.1%
21	3839	2.1%
38	2491	1.3%
19	2474	1.3%
Other values (93)	52202	28.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	98599	52.9%
6	936	0.5%
8	37	< 0.1%
9	20	< 0.1%
10	170	0.1%
11	3	< 0.1%
12	169	0.1%
13	362	0.2%
14	1106	0.6%
15	87	< 0.1%

Value	Count	Frequency (%)
337	77	< 0.1%
330	332	0.2%
322	1700	0.9%
308	513	0.3%
293	448	0.2%
291	2391	1.3%
289	659	0.4%
270	272	0.1%
266	1441	0.8%
265	129	0.1%

Legislative District
Categorical

Distinct	49
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.6 MiB

41.0	12066
45.0	11201
48.0	10246
1.0	8141
11.0	8072
Other values (44)	136750

Length

Max length	4
Median length	4
Mean length	3.858223
Min length	3

Characters and Unicode

Total characters	719466
Distinct characters	11
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	43.0
2nd row	35.0
3rd row	47.0
4th row	41.0
5th row	41.0

Common Values

Value	Count	Frequency (%)
41.0	12066	6.5%
45.0	11201	6.0%
48.0	10246	5.5%
1.0	8141	4.4%
11.0	8072	4.3%
5.0	7975	4.3%
36.0	7734	4.1%
46.0	7175	3.8%
43.0	6806	3.6%
37.0	5466	2.9%
Other values (39)	101594	54.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
41.0	12066	6.5%
45.0	11201	6.0%
48.0	10246	5.5%
1.0	8141	4.4%
11.0	8072	4.3%
5.0	7975	4.3%
36.0	7734	4.1%
46.0	7175	3.8%
43.0	6806	3.6%
37.0	5466	2.9%
Other values (39)	101594	54.5%

Most occurring characters

Value	Count	Frequency (%)
0	197586	27.5%
.	186476	25.9%
4	80662	11.2%
1	62333	8.7%
3	56006	7.8%
2	45130	6.3%
5	24232	3.4%
8	21459	3.0%
6	21377	3.0%
7	15518	2.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	719466	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	197586	27.5%
.	186476	25.9%
4	80662	11.2%
1	62333	8.7%
3	56006	7.8%
2	45130	6.3%
5	24232	3.4%
8	21459	3.0%
6	21377	3.0%
7	15518	2.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	719466	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	197586	27.5%
.	186476	25.9%
4	80662	11.2%
1	62333	8.7%
3	56006	7.8%
2	45130	6.3%
5	24232	3.4%
8	21459	3.0%
6	21377	3.0%
7	15518	2.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	719466	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	197586	27.5%
.	186476	25.9%
4	80662	11.2%
1	62333	8.7%
3	56006	7.8%
2	45130	6.3%
5	24232	3.4%
8	21459	3.0%
6	21377	3.0%
7	15518	2.2%

DOL Vehicle ID
Real number (ℝ)

UNIQUE

Distinct	186476
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.2258488 × 10⁸

Minimum	4385
Maximum	4.7925477 × 10⁸
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	2.8 MiB

Quantile statistics

Minimum	4385
5-th percentile	1.1150147 × 10⁸
Q1	1.8515839 × 10⁸
median	2.302291 × 10⁸
Q3	2.578034 × 10⁸
95-th percentile	3.3234198 × 10⁸
Maximum	4.7925477 × 10⁸
Range	4.7925039 × 10⁸
Interquartile range (IQR)	72645006

Descriptive statistics

Standard deviation	74638849
Coefficient of variation (CV)	0.33532758
Kurtosis	3.5760834
Mean	2.2258488 × 10⁸
Median Absolute Deviation (MAD)	30487219
Skewness	0.519861
Sum	4.1506738 × 10¹³
Variance	5.5709578 × 10¹⁵
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
259254397	1	< 0.1%
253350730	1	< 0.1%
143294280	1	< 0.1%
168433310	1	< 0.1%
185375284	1	< 0.1%
311629209	1	< 0.1%
294923555	1	< 0.1%
260781657	1	< 0.1%
122165865	1	< 0.1%
206956011	1	< 0.1%
Other values (186466)	186466	> 99.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
4385	1	< 0.1%
4777	1	< 0.1%
10286	1	< 0.1%
10734	1	< 0.1%
12050	1	< 0.1%
24629	1	< 0.1%
27702	1	< 0.1%
35325	1	< 0.1%
46112	1	< 0.1%
61092	1	< 0.1%

Value	Count	Frequency (%)
479254772	1	< 0.1%
479114996	1	< 0.1%
478935460	1	< 0.1%
478934571	1	< 0.1%
478926346	1	< 0.1%
478925947	1	< 0.1%
478925163	1	< 0.1%
478924358	1	< 0.1%
478916028	1	< 0.1%
478910428	1	< 0.1%

Vehicle Location
Text

Distinct	547
Distinct (%)	0.3%
Missing	5
Missing (%)	< 0.1%
Memory size	16.9 MiB

Length

Max length	33
Median length	31
Mean length	30.091156
Min length	26

Characters and Unicode

Total characters	5611128
Distinct characters	20
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	36 ?
Unique (%)	< 0.1%

Sample

1st row	POINT (-122.3008235 47.6862671)
2nd row	POINT (-122.6961203 47.5759584)
3rd row	POINT (-122.1145138 47.3581107)
4th row	POINT (-122.202397 47.619252)
5th row	POINT (-122.202397 47.619252)

Value	Count	Frequency (%)
point	186471	33.3%
47.6705374	4753	0.8%
122.1207376	4753	0.8%
122.206146	3507	0.6%
47.839957	3507	0.6%
122.1925969	3197	0.6%
47.676241	3197	0.6%
122.271716	3063	0.5%
47.452837	3063	0.5%
122.144149	3004	0.5%
Other values (1085)	340898	60.9%

Most occurring characters

Value	Count	Frequency (%)
2	607884	10.8%
1	447679	8.0%
4	423651	7.6%
7	400974	7.1%
.	372942	6.6%
	372942	6.6%
6	293302	5.2%
3	277486	4.9%
5	254869	4.5%
8	230059	4.1%
Other values (10)	1929340	34.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	5611128	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
2	607884	10.8%
1	447679	8.0%
4	423651	7.6%
7	400974	7.1%
.	372942	6.6%
	372942	6.6%
6	293302	5.2%
3	277486	4.9%
5	254869	4.5%
8	230059	4.1%
Other values (10)	1929340	34.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	5611128	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
2	607884	10.8%
1	447679	8.0%
4	423651	7.6%
7	400974	7.1%
.	372942	6.6%
	372942	6.6%
6	293302	5.2%
3	277486	4.9%
5	254869	4.5%
8	230059	4.1%
Other values (10)	1929340	34.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	5611128	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
2	607884	10.8%
1	447679	8.0%
4	423651	7.6%
7	400974	7.1%
.	372942	6.6%
	372942	6.6%
6	293302	5.2%
3	277486	4.9%
5	254869	4.5%
8	230059	4.1%
Other values (10)	1929340	34.4%

Latitude
Real number (ℝ)

Distinct	547
Distinct (%)	0.3%
Missing	5
Missing (%)	< 0.1%
Infinite	0
Infinite (%)	0.0%
Mean	47.462836

Minimum	45.595997
Maximum	48.992052
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	2.8 MiB

Quantile statistics

Minimum	45.595997
5-th percentile	45.74169
Q1	47.358111
median	47.610347
Q3	47.721052
95-th percentile	48.198211
Maximum	48.992052
Range	3.3960551
Interquartile range (IQR)	0.3629411

Descriptive statistics

Standard deviation	0.61088183
Coefficient of variation (CV)	0.01287074
Kurtosis	2.8485739
Mean	47.462836
Median Absolute Deviation (MAD)	0.1575102
Skewness	-1.3787686
Sum	8850442.5
Variance	0.37317661
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
47.6705374	4753	2.5%
47.839957	3507	1.9%
47.676241	3197	1.7%
47.452837	3063	1.6%
47.560742	3004	1.6%
47.619252	2937	1.6%
47.6862671	2833	1.5%
47.6259676	2633	1.4%
47.7621254	2545	1.4%
47.7210518	2468	1.3%
Other values (537)	155531	83.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
45.595997	609	0.3%
45.604689	755	0.4%
45.6092439	1692	0.9%
45.6174915	9	< 0.1%
45.620105	406	0.2%
45.6278995	560	0.3%
45.6365338	327	0.2%
45.6397193	11	< 0.1%
45.6456491	641	0.3%
45.654422	255	0.1%

Value	Count	Frequency (%)
48.9920521	1	< 0.1%
48.9910612	58	< 0.1%
48.9769756	14	< 0.1%
48.953176	412	0.2%
48.952558	28	< 0.1%
48.9425893	234	0.1%
48.9395869	31	< 0.1%
48.9335881	20	< 0.1%
48.9260491	11	< 0.1%
48.9119603	2	< 0.1%

Longitude
Real number (ℝ)

Distinct	547
Distinct (%)	0.3%
Missing	5
Missing (%)	< 0.1%
Infinite	0
Infinite (%)	0.0%
Mean	-122.07943

Minimum	-124.61408
Maximum	-117.05952
Zeros	0
Zeros (%)	0.0%
Negative	186471
Negative (%)	> 99.9%
Memory size	2.8 MiB

Quantile statistics

Minimum	-124.61408
5-th percentile	-122.86491
Q1	-122.39552
median	-122.27533
Q3	-122.1368
95-th percentile	-119.36274
Maximum	-117.05952
Range	7.5545593
Interquartile range (IQR)	0.2587159

Descriptive statistics

Standard deviation	1.0205948
Coefficient of variation (CV)	-0.0083600882
Kurtosis	12.695332
Mean	-122.07943
Median Absolute Deviation (MAD)	0.1316586
Skewness	3.512928
Sum	-22764273
Variance	1.0416137
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
-122.1207376	4753	2.5%
-122.206146	3507	1.9%
-122.1925969	3197	1.7%
-122.271716	3063	1.6%
-122.144149	3004	1.6%
-122.202397	2937	1.6%
-122.3008235	2833	1.5%
-122.0430602	2633	1.4%
-122.1368031	2545	1.4%
-122.2026532	2468	1.3%
Other values (537)	155531	83.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-124.6140781	7	< 0.1%
-124.4071496	14	< 0.1%
-124.3746458	3	< 0.1%
-124.3405386	2	< 0.1%
-124.2846109	4	< 0.1%
-124.264464	2	< 0.1%
-124.2129105	4	< 0.1%
-124.1836215	26	< 0.1%
-124.1682283	4	< 0.1%
-124.154452	140	0.1%

Value	Count	Frequency (%)
-117.0595188	12	< 0.1%
-117.075672	48	< 0.1%
-117.0774369	5	< 0.1%
-117.078955	22	< 0.1%
-117.08094	63	< 0.1%
-117.0888411	3	< 0.1%
-117.09883	228	0.1%
-117.1284737	3	< 0.1%
-117.1286861	55	< 0.1%
-117.1403337	5	< 0.1%

Electric Utility
Categorical

HIGH CARDINALITY IMBALANCE

Distinct	75
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.6 MiB

PUGET SOUND ENERGY INC\|\|CITY OF TACOMA - (WA)	69049
PUGET SOUND ENERGY INC	37798
CITY OF SEATTLE - (WA)\|CITY OF TACOMA - (WA)	32898
BONNEVILLE POWER ADMINISTRATION\|\|PUD NO 1 OF CLARK COUNTY - (WA)	10753
BONNEVILLE POWER ADMINISTRATION\|\|CITY OF TACOMA - (WA)\|\|PENINSULA LIGHT COMPANY	8215
Other values (70)	27763

Length

Max length	112
Median length	110
Mean length	44.336633
Min length	10

Characters and Unicode

Total characters	8267718
Distinct characters	36
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	4 ?
Unique (%)	< 0.1%

Sample

1st row	CITY OF SEATTLE - (WA)\|CITY OF TACOMA - (WA)
2nd row	PUGET SOUND ENERGY INC
3rd row	PUGET SOUND ENERGY INC\|\|CITY OF TACOMA - (WA)
4th row	PUGET SOUND ENERGY INC\|\|CITY OF TACOMA - (WA)
5th row	PUGET SOUND ENERGY INC\|\|CITY OF TACOMA - (WA)

Common Values

Value	Count	Frequency (%)
PUGET SOUND ENERGY INC\|\|CITY OF TACOMA - (WA)	69049	37.0%
PUGET SOUND ENERGY INC	37798	20.3%
CITY OF SEATTLE - (WA)\|CITY OF TACOMA - (WA)	32898	17.6%
BONNEVILLE POWER ADMINISTRATION\|\|PUD NO 1 OF CLARK COUNTY - (WA)	10753	5.8%
BONNEVILLE POWER ADMINISTRATION\|\|CITY OF TACOMA - (WA)\|\|PENINSULA LIGHT COMPANY	8215	4.4%
PUGET SOUND ENERGY INC\|\|PUD NO 1 OF WHATCOM COUNTY	4205	2.3%
BONNEVILLE POWER ADMINISTRATION\|\|AVISTA CORP\|\|INLAND POWER & LIGHT COMPANY	2959	1.6%
BONNEVILLE POWER ADMINISTRATION\|\|PUD 1 OF SNOHOMISH COUNTY	1607	0.9%
PACIFICORP	1388	0.7%
BONNEVILLE POWER ADMINISTRATION\|\|PUD NO 1 OF BENTON COUNTY	1331	0.7%
Other values (65)	16273	8.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
of	175255	12.6%
	164237	11.8%
wa	114753	8.2%
tacoma	113233	8.1%
energy	112061	8.0%
sound	112061	8.0%
puget	111052	8.0%
inc\|\|city	69049	4.9%
power	41047	2.9%
inc	38079	2.7%
Other values (111)	344734	24.7%

Most occurring characters

Value	Count	Frequency (%)
	1209085	14.6%
O	607663	7.3%
N	589137	7.1%
T	572494	6.9%
A	557667	6.7%
E	540755	6.5%
I	451755	5.5%
C	450421	5.4%
Y	302166	3.7%
U	290252	3.5%
Other values (26)	2696323	32.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	8267718	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	1209085	14.6%
O	607663	7.3%
N	589137	7.1%
T	572494	6.9%
A	557667	6.7%
E	540755	6.5%
I	451755	5.5%
C	450421	5.4%
Y	302166	3.7%
U	290252	3.5%
Other values (26)	2696323	32.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	8267718	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	1209085	14.6%
O	607663	7.3%
N	589137	7.1%
T	572494	6.9%
A	557667	6.7%
E	540755	6.5%
I	451755	5.5%
C	450421	5.4%
Y	302166	3.7%
U	290252	3.5%
Other values (26)	2696323	32.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	8267718	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	1209085	14.6%
O	607663	7.3%
N	589137	7.1%
T	572494	6.9%
A	557667	6.7%
E	540755	6.5%
I	451755	5.5%
C	450421	5.4%
Y	302166	3.7%
U	290252	3.5%
Other values (26)	2696323	32.6%

2020 Census Tract
Categorical

HIGH CARDINALITY

Distinct	1768
Distinct (%)	0.9%
Missing	0
Missing (%)	0.0%
Memory size	1.9 MiB

53033028200.0	2569
53033026200.0	1002
53033032321.0	850
53033028500.0	756
53033009300.0	735
Other values (1763)	180564

Length

Max length	13
Median length	13
Mean length	13
Min length	13

Characters and Unicode

Total characters	2424188
Distinct characters	11
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	7 ?
Unique (%)	< 0.1%

Sample

1st row	53033003601.0
2nd row	53035080700.0
3rd row	53033031708.0
4th row	53033024002.0
5th row	53033023601.0

Common Values

Value	Count	Frequency (%)
53033028200.0	2569	1.4%
53033026200.0	1002	0.5%
53033032321.0	850	0.5%
53033028500.0	756	0.4%
53033009300.0	735	0.4%
53067011200.0	716	0.4%
53033032318.0	617	0.3%
53061052107.0	606	0.3%
53033032220.0	597	0.3%
53033025006.0	596	0.3%
Other values (1758)	177432	95.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
53033028200.0	2569	1.4%
53033026200.0	1002	0.5%
53033032321.0	850	0.5%
53033028500.0	756	0.4%
53033009300.0	735	0.4%
53067011200.0	716	0.4%
53033032318.0	617	0.3%
53061052107.0	606	0.3%
53033032220.0	597	0.3%
53033025006.0	596	0.3%
Other values (1758)	177432	95.2%

Most occurring characters

Value	Count	Frequency (%)
0	854122	35.2%
3	499036	20.6%
5	272283	11.2%
.	186476	7.7%
1	173950	7.2%
2	162419	6.7%
6	72136	3.0%
7	62162	2.6%
4	58362	2.4%
9	52387	2.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	2424188	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	854122	35.2%
3	499036	20.6%
5	272283	11.2%
.	186476	7.7%
1	173950	7.2%
2	162419	6.7%
6	72136	3.0%
7	62162	2.6%
4	58362	2.4%
9	52387	2.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	2424188	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	854122	35.2%
3	499036	20.6%
5	272283	11.2%
.	186476	7.7%
1	173950	7.2%
2	162419	6.7%
6	72136	3.0%
7	62162	2.6%
4	58362	2.4%
9	52387	2.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	2424188	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	854122	35.2%
3	499036	20.6%
5	272283	11.2%
.	186476	7.7%
1	173950	7.2%
2	162419	6.7%
6	72136	3.0%
7	62162	2.6%
4	58362	2.4%
9	52387	2.2%

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

First rows
Last rows

	VIN (1-10)	County	City	State	Postal Code	Model Year	Make	Model	Electric Vehicle Type	Clean Alternative Fuel Vehicle (CAFV) Eligibility	Electric Range	Legislative District	DOL Vehicle ID	Vehicle Location	Latitude	Longitude	Electric Utility	2020 Census Tract
0	WBY8P6C58K	King	Seattle	WA	98115.0	2019	BMW	I3	Battery Electric Vehicle (BEV)	Clean Alternative Fuel Vehicle Eligible	153	43.0	259254397	POINT (-122.3008235 47.6862671)	47.686267	-122.300824	CITY OF SEATTLE - (WA)\|CITY OF TACOMA - (WA)	5.303300e+10
1	5YJSA1DN4D	Kitsap	Bremerton	WA	98312.0	2013	TESLA	MODEL S	Battery Electric Vehicle (BEV)	Clean Alternative Fuel Vehicle Eligible	208	35.0	127420940	POINT (-122.6961203 47.5759584)	47.575958	-122.696120	PUGET SOUND ENERGY INC	5.303508e+10
2	5YJSA1E26J	King	Kent	WA	98042.0	2018	TESLA	MODEL S	Battery Electric Vehicle (BEV)	Clean Alternative Fuel Vehicle Eligible	249	47.0	170287183	POINT (-122.1145138 47.3581107)	47.358111	-122.114514	PUGET SOUND ENERGY INC\|\|CITY OF TACOMA - (WA)	5.303303e+10
3	WBY2Z2C54E	King	Bellevue	WA	98004.0	2014	BMW	I8	Plug-in Hybrid Electric Vehicle (PHEV)	Not eligible due to low battery range	14	41.0	205545868	POINT (-122.202397 47.619252)	47.619252	-122.202397	PUGET SOUND ENERGY INC\|\|CITY OF TACOMA - (WA)	5.303302e+10
4	5YJXCDE23J	King	Bellevue	WA	98004.0	2018	TESLA	MODEL X	Battery Electric Vehicle (BEV)	Clean Alternative Fuel Vehicle Eligible	238	41.0	237977386	POINT (-122.202397 47.619252)	47.619252	-122.202397	PUGET SOUND ENERGY INC\|\|CITY OF TACOMA - (WA)	5.303302e+10
5	WBY33AW0XP	King	Seattle	WA	98109.0	2023	BMW	I4	Battery Electric Vehicle (BEV)	Eligibility unknown as battery range has not been researched	0	36.0	238283545	POINT (-122.3441532 47.6305366)	47.630537	-122.344153	CITY OF SEATTLE - (WA)\|CITY OF TACOMA - (WA)	5.303301e+10
6	5YJ3E1EB5L	King	Bothell	WA	98011.0	2020	TESLA	MODEL 3	Battery Electric Vehicle (BEV)	Clean Alternative Fuel Vehicle Eligible	322	1.0	123837269	POINT (-122.201408 47.754528)	47.754528	-122.201408	PUGET SOUND ENERGY INC\|\|CITY OF TACOMA - (WA)	5.303302e+10
7	1V2GNPE86P	King	Sammamish	WA	98075.0	2023	VOLKSWAGEN	ID.4	Battery Electric Vehicle (BEV)	Eligibility unknown as battery range has not been researched	0	41.0	266068799	POINT (-122.0181135 47.5880568)	47.588057	-122.018113	PUGET SOUND ENERGY INC\|\|CITY OF TACOMA - (WA)	5.303303e+10
8	WVWPP7AU0G	King	Bellevue	WA	98004.0	2016	VOLKSWAGEN	E-GOLF	Battery Electric Vehicle (BEV)	Clean Alternative Fuel Vehicle Eligible	83	48.0	156800388	POINT (-122.202397 47.619252)	47.619252	-122.202397	PUGET SOUND ENERGY INC\|\|CITY OF TACOMA - (WA)	5.303302e+10
9	3C3CFFGE8D	King	Bellevue	WA	98004.0	2013	FIAT	500	Battery Electric Vehicle (BEV)	Clean Alternative Fuel Vehicle Eligible	87	41.0	267527928	POINT (-122.202397 47.619252)	47.619252	-122.202397	PUGET SOUND ENERGY INC\|\|CITY OF TACOMA - (WA)	5.303302e+10

	VIN (1-10)	County	City	State	Postal Code	Model Year	Make	Model	Electric Vehicle Type	Clean Alternative Fuel Vehicle (CAFV) Eligibility	Electric Range	Legislative District	DOL Vehicle ID	Vehicle Location	Latitude	Longitude	Electric Utility	2020 Census Tract
186869	KM8KN4AE4P	Grant	Quincy	WA	98848.0	2023	HYUNDAI	IONIQ 5	Battery Electric Vehicle (BEV)	Eligibility unknown as battery range has not been researched	0	13.0	230075947	POINT (-119.8619179 47.2248994)	47.224899	-119.861918	PUD NO 2 OF GRANT COUNTY	5.302501e+10
186870	5YJSA1E55P	Pierce	Gig Harbor	WA	98335.0	2023	TESLA	MODEL S	Battery Electric Vehicle (BEV)	Eligibility unknown as battery range has not been researched	0	26.0	245475464	POINT (-122.6046494 47.3087246)	47.308725	-122.604649	BONNEVILLE POWER ADMINISTRATION\|\|CITY OF TACOMA - (WA)\|\|PENINSULA LIGHT COMPANY	5.305307e+10
186871	7SAYGDEF1P	King	Enumclaw	WA	98022.0	2023	TESLA	MODEL Y	Battery Electric Vehicle (BEV)	Eligibility unknown as battery range has not been researched	0	31.0	233676383	POINT (-121.98953 47.20347)	47.203470	-121.989530	PUGET SOUND ENERGY INC\|\|CITY OF TACOMA - (WA)	5.303303e+10
186872	7SAYGDEF3P	Snohomish	Snohomish	WA	98296.0	2023	TESLA	MODEL Y	Battery Electric Vehicle (BEV)	Eligibility unknown as battery range has not been researched	0	44.0	228055278	POINT (-122.121841 47.841036)	47.841036	-122.121841	PUGET SOUND ENERGY INC	5.306105e+10
186873	7SAYGDEE0N	Okanogan	Winthrop	WA	98862.0	2022	TESLA	MODEL Y	Battery Electric Vehicle (BEV)	Eligibility unknown as battery range has not been researched	0	12.0	203695124	POINT (-120.2222424 48.4862039)	48.486204	-120.222242	OKANOGAN COUNTY ELEC COOP, INC	5.304797e+10
186874	JTMEB3FVXM	Snohomish	Arlington	WA	98223.0	2021	TOYOTA	RAV4 PRIME	Plug-in Hybrid Electric Vehicle (PHEV)	Clean Alternative Fuel Vehicle Eligible	42	10.0	167257387	POINT (-122.11597 48.194109)	48.194109	-122.115970	BONNEVILLE POWER ADMINISTRATION\|\|PUD 1 OF SNOHOMISH COUNTY	5.306105e+10
186875	7SAYGAEEXP	Snohomish	Stanwood	WA	98292.0	2023	TESLA	MODEL Y	Battery Electric Vehicle (BEV)	Eligibility unknown as battery range has not been researched	0	10.0	255471611	POINT (-122.326873 48.2144825)	48.214483	-122.326873	BONNEVILLE POWER ADMINISTRATION\|\|PUD 1 OF SNOHOMISH COUNTY	5.306105e+10
186876	3FA6P0SUXK	King	Auburn	WA	98001.0	2019	FORD	FUSION	Plug-in Hybrid Electric Vehicle (PHEV)	Not eligible due to low battery range	26	30.0	326904777	POINT (-122.2651204 47.3164638)	47.316464	-122.265120	PUGET SOUND ENERGY INC\|\|CITY OF TACOMA - (WA)	5.303303e+10
186877	7SAYGDEE1P	Pierce	Tacoma	WA	98422.0	2023	TESLA	MODEL Y	Battery Electric Vehicle (BEV)	Eligibility unknown as battery range has not been researched	0	27.0	252396427	POINT (-122.389973 47.291035)	47.291035	-122.389973	BONNEVILLE POWER ADMINISTRATION\|\|CITY OF TACOMA - (WA)\|\|PENINSULA LIGHT COMPANY	5.305394e+10
186878	7SAYGDEE1R	Douglas	East Wenatchee	WA	98802.0	2024	TESLA	MODEL Y	Battery Electric Vehicle (BEV)	Eligibility unknown as battery range has not been researched	0	12.0	261058612	POINT (-120.2609057 47.4167133)	47.416713	-120.260906	PUD NO 1 OF DOUGLAS COUNTY	5.301795e+10

Overview

Variables

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)